Machine Learning With GA Optimization to Model the Agricultural Soil-Landscape of Germany: An Approach Involving Soil Functional Types With Their Multivariate Parameter Distributions Along the Depth Profile

Machine Learning With GA Optimization to Model the Agricultural Soil-Landscape of Germany: An Approach Involving Soil Functional Types With Their Multivariate Parameter Distributions Along the Depth Profile

Societal demands on soil functionality in agricultural soil-landscapes are confronted with yield losses and environmental impact. Soil functional information at national scale is required to address these challenges. On behalf of the well-known theory that soils and their site-specific characteristi...

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Bibliographic Details
Main Authors: Mareike Ließ, Anika Gebauer, Axel Don
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-06-01
Series:Frontiers in Environmental Science
Subjects:
pedometrics
soil functional types
soil parameter space
machine learning
optimization
Online Access:https://www.frontiersin.org/articles/10.3389/fenvs.2021.692959/full

Internet

https://www.frontiersin.org/articles/10.3389/fenvs.2021.692959/full

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